Robustly representing uncertainty in deep neural networks through sampling

Patrick McClure, Nikolaus Kriegeskorte

As deep neural networks (DNNs) are applied to increasingly challenging problems, they will need to be able to represent their own uncertainty. Modeling uncertainty is one of the ke…